Face recognition by counter-propagation networks
The functionality of counter-propagation nets applied to face recognition is presented inthis paper. The chosen procedure basically transforms the image into a vector of numbers andpasses them to the net’s input layer. The tested input vector is either a vector of the imagegrey levels or a vector of...
| Autores: | , , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2000 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/29503 |
| Acceso en línea: | https://www.dsi.uclm.es/personal/fcogomez/CV/SIARP2000.pdf http://hdl.handle.net/10578/29503 |
| Access Level: | acceso abierto |
| Palabra clave: | Face recognition |
| Sumario: | The functionality of counter-propagation nets applied to face recognition is presented inthis paper. The chosen procedure basically transforms the image into a vector of numbers andpasses them to the net’s input layer. The tested input vector is either a vector of the imagegrey levels or a vector of the histograms of the image’s rows. The counter-propagationnetworks obtain an excellent result of over an 80% of guesses of face recognition in bothstudied case |
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